Meet Cognira in New York City at NRF 2027: Retail’s Big Show 2026 | January 10–12, 2027 | Request a meeting
Analytics buzzwords are used every day. (Big data, ML/AI, deep learning ring a bell?) But before we dive into those, let’s start with the basics…what is #analytics and how has it progressed over time? In our latest blog, we take you through the analytics evolution – from descriptive to cognitive
Over the last decade, we have seen Data Analytics evolve at a tremendously fast pace. With the introduction of Big Data, the Cloud, Data Warehouses, and Artificial Intelligence, Data Analytics had to move with the times…fast. Despite analytics playing a key role in technology, many are unable to define and
While it may seem simple to hire Data Scientists, it is complicated to create a long-lasting successful team without first understanding a few major points. In this video, we take you through 3 important steps before you begin the hiring process: Have you seen our blog Creating A Successful Data Science
Linda Whitaker VP of Science Delivery Data Science has the power to positively impact retail companies due to its fact-based data-driven insights. Though successful Data Science teams are often associated with technology companies, many successful retail companies are utilizing Data Science daily to further drive their success and stay ahead
We love data. But we also know excess data can be a bad thing. Here are three ways we’ve seen retailers use data to their detriment and some ideas on how to avoid these pitfalls. Analyzing anecdotes One data challenge we’ve seen is people manually reviewing too much data anecdotally.
Overview Artificial intelligence and machine learning were a huge buzz at NRF, and it seemed like every other booth had some mention of it. The NRF program listed 132 exhibitors as “AI” providers in their guide. Are AI and machine learning truly that pervasive and are the much-hyped benefits real?
